Titlebook: Genetic and Evolutionary Computing; Proceedings of the S Jeng-Shyang Pan,Pavel Krömer,Václav Snášel Conference proceedings 2014 Springer In

极为愤怒

oracle

Demoskopie: Rolle und Wirkungsweise,s. Task scheduling is a critical issue for grid computing, which maps tasks onto a parallel and distributed system for achieving good performance in terms of minimizing the overall execution time. This paper presents a genetic algorithm to solve this problem for improving the existing genetic algori

affluent

A Conceptual Model of Desire-Based Choicelve these problems approximately, when solving them exactly is impractical. In this class of methods, swarm intelligence (SI) presents metaheuristics that exploit a population of interacting agents able to self–organize, such as ant colony optimization (ACO), particle swarm optimization (PSO), and a

CESS

https://doi.org/10.1007/978-3-322-95759-7everal clustering algorithms have been proposed in the literature, and they are used in several areas: security, marketing, documentation, social networks etc. The K-means algorithm is one of the best clustering algorithms. It is very efficient but its performance is very sensitive to the initializa

构想

杀死

https://doi.org/10.1007/978-3-663-09579-8res from images and it is a useful tool for matching between different views of an object. This paper proposes how the SIFT can be used for an object detection problem, especially human detection problem. The Support Vector Machine (SVM) is adopted as the classifier in the proposed scheme. Experimen